TY - JOUR
T1 - Identification of critical genetic variants associated with metabolic phenotypes of the Japanese population
AU - Koshiba, Seizo
AU - Motoike, Ikuko N.
AU - Saigusa, Daisuke
AU - Inoue, Jin
AU - Aoki, Yuichi
AU - Tadaka, Shu
AU - Shirota, Matsuyuki
AU - Katsuoka, Fumiki
AU - Tamiya, Gen
AU - Minegishi, Naoko
AU - Fuse, Nobuo
AU - Kinoshita, Kengo
AU - Yamamoto, Masayuki
N1 - Funding Information:
We thank all the volunteers who participated in TMM cohort study. We thank members of ToMMo at Tohoku University for their contribution to the establishment of the genome cohort and biobank and for their help with the metabolome analyses (http:// www.megabank.tohoku.ac.jp/english/a171201). This work was supported in part by the Tohoku Medical Megabank Project from MEXT, Japan Agency for Medical Research and Development (AMED; grant numbers JP19km0105001 and JP19km0105002), Platform Program for Promotion of Genome Medicine (grant number JP19km0405001), Advanced Genome Research and Bioinformatics Study to Facilitate Medical Innovation (grant numbers JP19km0405203 and JP19km0405210), Project for Promoting Public Utilization of Advanced Research Infrastructure (MEXT), Sharing and administrative network for research equipment (MEXT), Practical Research Project for Life-Style related Diseases including Cardiovascular Diseases and Diabetes Mellitus (AMED), and Center of Innovation Program from Japan Science and Technology Agency (JST).
Publisher Copyright:
© 2020, The Author(s).
PY - 2020/12
Y1 - 2020/12
N2 - We performed a metabolome genome-wide association study for the Japanese population in the prospective cohort study of Tohoku Medical Megabank. By combining whole-genome sequencing and nontarget metabolome analyses, we identified a large number of novel associations between genetic variants and plasma metabolites. Of the identified metabolite-associated genes, approximately half have already been shown to be involved in various diseases. We identified metabolite-associated genes involved in the metabolism of xenobiotics, some of which are from intestinal microorganisms, indicating that the identified genetic variants also markedly influence the interaction between the host and symbiotic bacteria. We also identified five associations that appeared to be female-specific. A number of rare variants that influence metabolite levels were also found, and combinations of common and rare variants influenced the metabolite levels more profoundly. These results support our contention that metabolic phenotyping provides important insights into how genetic and environmental factors provoke human diseases.
AB - We performed a metabolome genome-wide association study for the Japanese population in the prospective cohort study of Tohoku Medical Megabank. By combining whole-genome sequencing and nontarget metabolome analyses, we identified a large number of novel associations between genetic variants and plasma metabolites. Of the identified metabolite-associated genes, approximately half have already been shown to be involved in various diseases. We identified metabolite-associated genes involved in the metabolism of xenobiotics, some of which are from intestinal microorganisms, indicating that the identified genetic variants also markedly influence the interaction between the host and symbiotic bacteria. We also identified five associations that appeared to be female-specific. A number of rare variants that influence metabolite levels were also found, and combinations of common and rare variants influenced the metabolite levels more profoundly. These results support our contention that metabolic phenotyping provides important insights into how genetic and environmental factors provoke human diseases.
UR - http://www.scopus.com/inward/record.url?scp=85095825461&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85095825461&partnerID=8YFLogxK
U2 - 10.1038/s42003-020-01383-5
DO - 10.1038/s42003-020-01383-5
M3 - Article
C2 - 33177615
AN - SCOPUS:85095825461
SN - 2399-3642
VL - 3
JO - Communications Biology
JF - Communications Biology
IS - 1
M1 - 662
ER -